Testing Logic-based and Humor-based Corrections for Science, Health, and Political Misinformation on Social Media
Summary
The study investigated whether logic-based or humor-based corrections could neutralize misinformation across three different topics. The researchers found that these corrections were only effective in reducing misperceptions for HPV vaccination, while results varied for other topics, suggesting that the efficacy of such corrections is issue-dependent.
Key insights
- Logic-based and humor-based corrections were only successful in reducing misperceptions for the topic of HPV vaccination, with results varying across the other tested issues.
Cite the original document
- APA
- Team, M. 4. (2019). Testing Logic-based and Humor-based Corrections for Science, Health, and Political Misinformation on Social Media. Center for Climate Change Communication. https://climatecommunication.gmu.edu/all/testing-logic-based-and-humor-based-corrections-for-science-health-and-political-misinformation-on-social-media/
- Chicago
- Team, Mason 4C. Testing Logic-based and Humor-based Corrections for Science, Health, and Political Misinformation on Social Media. Center for Climate Change Communication, 2019. https://climatecommunication.gmu.edu/all/testing-logic-based-and-humor-based-corrections-for-science-health-and-political-misinformation-on-social-media/.
- Wikipedia
- {{cite report |last1=Team |first1=Mason 4C |title=Testing Logic-based and Humor-based Corrections for Science, Health, and Political Misinformation on Social Media |publisher=Center for Climate Change Communication |date=25 September 2019 |url=https://climatecommunication.gmu.edu/all/testing-logic-based-and-humor-based-corrections-for-science-health-and-political-misinformation-on-social-media/ |access-date=23 October 2026 |via=Climate Insights Directory}}
- BibTeX
- @techreport{team2019testing, author = {Team, Mason 4C}, title = {{Testing Logic-based and Humor-based Corrections for Science, Health, and Political Misinformation on Social Media}}, institution = {Center for Climate Change Communication}, year = {2019}, month = sep, url = {https://climatecommunication.gmu.edu/all/testing-logic-based-and-humor-based-corrections-for-science-health-and-political-misinformation-on-social-media/}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }
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